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  • 💪 Humidity Affects Heat Loss and Exercise; Resistance Training Shows Unique Adaptations

💪 Humidity Affects Heat Loss and Exercise; Resistance Training Shows Unique Adaptations

🐍🍎 Using Python to Calculate Training Load and Workout Duration

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In today’s edition:

• Muscular adaptations in single set resistance training

• Humidity impacts exercise performance in heat

• Modeling lactate threshold factors in young cyclists

• Predicting success in amateur road cycling through durability

• Physical activity intervention for children with cerebral palsy

• Seasonal performance variations in male basketball

and several more…

In focus: Understanding Muscular Adaptations from Single Set Resistance Training

Single set resistance training, particularly when performed to failure, demonstrates remarkable potential for eliciting significant muscular adaptations while maximizing training efficiency. Recent groundbreaking research by Hermann et al. (2024) examining muscular adaptations in single set resistance training reveals that both training to failure and submaximal approaches (leaving 2 repetitions in reserve) produce substantial gains in muscle hypertrophy and power, with training to failure yielding modestly superior results in specific growth metrics, particularly mid-quadriceps thickness increases of 9.5% versus 4.6% for submaximal training. The underlying mechanisms driving these adaptations involve the strategic recruitment of fast-twitch muscle fibers through mechanical tension and metabolic stress pathways, which are optimally activated during high-intensity, low-volume protocols that challenge muscles to or near failure. Importantly, a comprehensive meta-analysis examining training to failure versus non-failure approaches confirms that while both methods produce comparable strength gains, training to failure provides significant advantages for muscle hypertrophy in resistance-trained individuals, with effect sizes favoring failure training. These findings fundamentally challenge traditional high-volume training paradigms, demonstrating that significant muscular adaptations can be achieved through remarkably efficient protocols requiring only two 30-minute total-body sessions per week. For coaches and athletes operating under time constraints, this evidence strongly supports implementing single-set training protocols that emphasize proximity to failure, as they deliver meaningful improvements in muscle mass, power output, and performance metrics without the extensive time investment typically associated with conventional multi-set approaches.

-Haresh 🤙

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Training load is a crucial concept in sports science that helps coaches and athletes understand how much work their body is doing during exercise. Think of it like measuring how much total "effort" you put into a workout. Just as you might measure the total distance of a road trip by adding up all the miles from each leg of the journey, training load adds up all the work from each exercise in your workout. This measurement helps athletes avoid overtraining (doing too much and getting injured) and undertraining (not doing enough to improve). By tracking training load, coaches can design programs that challenge athletes just enough to get stronger without wearing them out.

def calculate_training_load(sets, reps_per_set, weight):
    # This line multiplies sets, reps, and weight to find the total volume
    # Volume = how much total weight you moved during the entire workout
    total_volume = sets * reps_per_set * weight
    # Send back the calculated volume to whoever called this function
    return total_volume

# Example usage - like a real workout scenario
workout_load = calculate_training_load(3, 10, 50) # 3 sets, 10 reps, 50kg weight
print(workout_load) # Expected output: 1500 (total kg moved)

Your Task: Many athletes need to plan their training sessions within specific time windows to fit their busy schedules. Your challenge is to enhance this function by adding rest time calculations and determining the total workout duration. Remember that proper form requires approximately 2 seconds per repetition (1 second to lift the weight, 1 second to lower it safely), and adequate rest between sets is crucial for performance and safety.

To see a version of this code with full explanations on how to complete this task and to run it yourself, please open this script in Google Colab.

This figure illustrates how power output during a 700-kJ self-paced cycling time trial at 33°C varies across different humidity conditions: Low, Moderate, High, and Very high. The x-axis represents the percentage of work completed, while the y-axis shows power output in watts. As humidity increases, the environmental capacity for sweat evaporation decreases, which hampers heat dissipation. This reduced evaporative cooling leads to greater thermal strain, causing athletes to lower their effort to avoid overheating, resulting in decreased power output.

Key finding:

Elevated humidity significantly impairs heat dissipation and performance in cyclists during exercise in hot conditions.

How they did it:

  • Methodology: The study involved 12 trained male cyclists who completed a 700-kJ cycling time trial under four humidity conditions (Low: 1.6 kPa, Moderate: 2.5 kPa, High: 3.5 kPa, Very High: 4.5 kPa) in an ambient temperature of 33°C, using a counterbalanced crossover design for environmental trials.

  • Results: Power output decreased significantly with increasing humidity; it was similar in Low (260 W) and Moderate (257 W) conditions but reduced to 246 W in High and 222 W in Very High humidity (~16% lower than Low; p<0.001). Time trial performance was also slower in Very High humidity (52:54 ± 7:14 minutes) compared to Low (46:16 ± 4:20 minutes).

  • Thermal Response: Peak core temperature was highest in Very High humidity (39.49°C ± 0.56°C), significantly exceeding values in Low humidity (38.97°C ± 0.44°C; p<0.001). The mean skin temperature also rose with humidity, indicating greater thermal strain.

  • Innovations: This study demonstrated a unique quantitative relationship between absolute humidity and physiological performance metrics during self-paced cycling, effectively using heat balance equations to correlate evaporative efficiency (Seff) with thermal strain.

  • Performance Insights: The results highlighted that performance impairments occur when humidity exceeds 2.5 kPa, associated with reduced evaporative capacity and increased thermal strain, suggesting the need for strategies such as hydration and heat acclimation for athletes competing in hot conditions.

Why it matters:

These findings highlight the significant impact of humidity on exercise performance, showing that even moderate humidity can reduce power output by approximately 10% during self-paced cycling. For coaches and athletes, understanding that absolute humidity levels above 2.5 kPa lead to greater thermal strain can help in tailoring training and competition strategies to optimize performance in challenging conditions.

This figure presents posterior distributions illustrating the accuracy of predicting repetitions-in-reserve (RIR) during resistance exercises, specifically comparing the squat and bench press. Each subplot shows the probability distribution of the difference between predicted and actual repetitions after RIR prediction, with values centered around zero indicating accurate estimation.

Key finding:

Single-set resistance training to failure yields modestly better muscle growth and power gains than training with repetitions-in-reserve.

How they did it:

  • Methodology: The study involved 42 resistance-trained participants who were randomly assigned to two groups: one trained to muscular failure (FAIL), while the other stopped with two repetitions in reserve (2-RIR). Both groups performed a single set of nine exercises twice a week for eight weeks, targeting all major muscle groups, with muscle thickness and strength measured pre- and post-intervention.

  • Results: Both training methods led to significant increases in muscle thickness, particularly in the mid-quadriceps (FAIL: 9.5%; 2-RIR: 4.6%) and local muscular endurance (FAIL: 31.7%; 2-RIR: 22.5%). Strength improvements were similar between groups, with minor enhancements in 1RM bench press and squat for both, indicating negligible differences in strength outcomes.

  • Muscular Power: Improvements in countermovement jump height were greater in the FAIL group (6.0% increase) compared to the 2-RIR group (1.4% increase), although statistical evidence for a significant difference was not strong.

  • Innovations: This study utilized the repetitions-in-reserve (RIR) method for training, allowing participants to self-assess their effort levels, which proved effective as participants improved their RIR estimation accuracy over the eight-week training period.

  • Conclusion: Training to muscular failure offers slight advantages in hypertrophy and power over submaximal training; however, significant muscular adaptations can be achieved through low-volume training (only two sets per week), suggesting a viable approach for individuals with limited time for exercise.

Why it matters:

These findings suggest that both single-set resistance training to failure and with repetitions-in-reserve can lead to meaningful muscle growth and strength gains for athletes pressed for time. In fact, participants experienced muscle thickness increases of about 2.5% to 9.5% across different muscle groups, reinforcing the idea that effective training doesn’t have to be lengthy—just strategic. Coaches can leverage these insights to streamline workout designs, helping athletes stay consistent and motivated without descending into fatigue-laden sessions.

Biomechanics

-Dancers with chronic ankle instability demonstrate greater visual reliance for static balance compared to non-dancers.

Biomechanics

-Obesity reduces calf raise efficiency due to increased muscle stiffness and lower relative strength.

Biomechanics

-Fatigability influences propulsion asymmetry differently in wheelchair basketball and rugby athletes during repeated sprints.

Biomechanics

-Grip wax increases friction and power demands in cross-country skiing, affecting performance during double poling and gliding.

Biomechanics

-Positional differences in basketball players show varying biomechanical loads between practice and games throughout the season.

Injury

-Releasing the long head of the biceps tendon during rotator cuff repair improves shoulder function compared to preserving it.

Sport Physiology

-Maximal oxygen uptake and cycling cost accurately predict lactate threshold power in young athletes, with varying importance by sex.

Sport Physiology

-Successful amateur cyclists maintain higher power output during fatigue, indicating better durability than less successful peers.

Youth Athlete

-Children and young adults with cerebral palsy may be as active as typically developing peers when energy expenditure is considered.

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